Senior AI Engineer- London

Senior AI Engineer- London

Temporary 76500 - 93500 £ / year (est.) Home office (partial)
FDM

At a Glance

  • Tasks: Design and develop AI-powered applications and workflow automations for the Higher Education sector.
  • Company: FDM, a global leader in tech and business talent solutions with a diverse culture.
  • Benefits: Career coaching, mentoring, global assignments, annual leave, and workplace pension.
  • Other info: Hybrid role in London with excellent prospects for career growth.
  • Why this job: Make a real impact by turning innovative AI use cases into practical solutions.
  • Qualifications: Experience in AI development, cloud platforms, and modern software engineering practices.

The predicted salary is between 76500 - 93500 £ per year.

About The Role

FDM is a global business and technology consultancy seeking a Senior AI Developer to work for our client within the Higher Education sector.

This is initially a 3-month contract with very good prospects to extend and will be a hybrid role based in London.

Our client is looking for a hands‑on Senior AI Developer to help establish and grow practical AI capability across its ICT function.

The role will focus on turning agreed use cases into working solutions that demonstrate clear value quickly, while creating a strong foundation for further investment and delivery.

You will work closely with Enterprise Architecture, the AI Product Owner and teams across cyber security, data, integrations, infrastructure and networking.

The initial focus will be on smaller, achievable use cases, including AI assistants that can review technical designs and documentation, identify missing information, assess completeness and check alignment with organisational security, networking and infrastructure standards.

This is primarily a development role rather than a research, strategy or people‑management position.

You will be expected to take ownership of delivery, work independently, engage proactively with stakeholders and build solutions within existing cloud patterns, guardrails and governance standards.

Responsibilities

  • Design, develop, test and deploy practical AI‑powered applications, assistants and workflow automations.
  • Build Retrieval Augmented Generation (RAG) solutions that use organisational documentation, standards and knowledge sources.
  • Develop an initial assistant that can review cloud infrastructure designs, prompt users for missing configuration information, measure document completeness and check alignment with agreed standards.
  • Translate prioritised use cases into working proofs of concept and production‑ready solutions that demonstrate measurable value.
  • Use prompt engineering and model configuration techniques to improve accuracy, relevance, consistency and user experience.
  • Integrate Large Language Models (LLMs) and AI services with existing cloud platforms, enterprise systems, APIs and workflows.
  • Work closely with Enterprise Architecture and the AI Product Owner to understand requirements, refine use cases and agree achievable outcomes.
  • Collaborate across cyber security, data, integrations, infrastructure and networking to secure the services, access and technical resources required for delivery.
  • Ensure solutions follow existing security, data, networking, infrastructure, governance and responsible AI standards.
  • Evaluate appropriate models, tools and approaches for each use case, balancing quality, cost, maintainability and delivery speed.
  • Apply modern software engineering practices, including version control, testing, code review, CI/CD, monitoring and documentation.
  • Contribute reusable development patterns, guidance and good practice as the client's AI capability matures.
  • Proactively identify delivery risks, ask the right questions and take ownership from concept through to implementation and handover.
  • Support the identification and shaping of future AI opportunities once the first use cases have demonstrated value.

Desirable skills

  • Azure AI Foundry and Azure Machine Learning.
  • MLOps practices and tools such as MLflow.
  • Containerisation and orchestration using Docker and Kubernetes.
  • Experience developing copilots, AI agents or multi‑step AI workflows.
  • Experience working with enterprise architecture, cloud design, infrastructure or technical standards.
  • Knowledge of responsible AI, security controls, guardrails and model risk management.
  • Experience working in Higher Education, the public sector or another large and complex organisation.
  • Experience helping a new AI capability move from proof of concept into repeatable delivery.

About Us

FDM is an award‑winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience.

We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees.

FDM has shown exponential growth throughout the years, firmly establishing itself as an award‑winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK ‘Best Employer’.

Diversity and Inclusion

FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

  • Why join us
  • Career coaching, mentoring and access to upskilling throughout your entire FDM career
  • Assignments with global companies and opportunities to work abroad
  • Opportunity to re‑skill and up‑skill into new areas, develop non‑linear career paths and build a skillset within your field
  • Annual leave and work‑place pension
  • #J-18808-Ljbffr

Senior AI Engineer- London employer: FDM

FDM is an exceptional employer that offers a dynamic work culture and a commitment to employee growth, making it an ideal place for a Data & AI Engineer. With access to career coaching, mentoring, and opportunities to work with global companies, employees can develop their skills in a supportive environment while enjoying the benefits of a hybrid role in London. The company's recognition as a top employer underscores its dedication to diversity and inclusion, ensuring a rewarding and meaningful career path for all team members.

FDM

Contact Details:

FDM Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior AI Engineer- London

Get Involved in Open-Source Projects

Diving into open-source projects is a brilliant way to showcase your skills and connect with other developers in the community. Not only will you beef up your GitHub profile but you might also catch the eye of someone at FDM who values hands-on experience over just theory.

Attend Local Tech Meetups

Tech meetups are gold mines for networking and discovering job opportunities, especially in the fast-paced world of software engineering. Check out local listings for events in your area and don’t shy away from introducing yourself. This could lead directly to a temporary position at FDM!

Showcase Your Work Online

With temporary roles, it’s all about standing out in a short space of time. Create a portfolio website where you highlight your projects and skills. Talk about your code, and provide links to your GitHub repositories. This will not only demonstrate your abilities but will also make it easier for recruiters at FDM to see what you bring to the table.

Leverage Temporary Job Boards

Don’t forget to check specialised job boards for temporary software development roles. Websites like We Work Remotely or Remote OK often list short-term gigs that can be a perfect fit. Apply directly through our website as well, making sure your application is sharp—temporary roles can move fast!

We think you need these skills to ace Senior AI Engineer- London

AI Development
Cloud Platforms
Retrieval Augmented Generation (RAG)
Large Language Models (LLMs)
Prompt Engineering
Model Configuration
MLOps

Some tips for your application 🫡

Show Off Your Tech Skills:Make sure your CV highlights your tech stack and any programming languages you’re proficient in. Include specifics about any frameworks or technologies you’ve worked with; they can make you stand out in the sea of applicants. It’s all about showing that you have the chops we need at FDM!

Portfolio 2.0:Since you’re applying for a temporary gig, it’s super important to showcase a portfolio that highlights your best projects. Include links to GitHub or any personal projects that demonstrate what you can do in a real-world environment. This gives us a taste of your style and your problem-solving approach!

Keep It Brief and Relevant:With a temporary position, we want to see your ability to hit the ground running. Be concise in your CV and cover letter; stick to experiences that directly relate to the role. Highlight any previous temporary roles or freelance gigs that show your adaptability and quick learning!

Tailor Your Cover Letter:Don’t just send a generic cover letter. Personalise it for Senior AI Engineer- London at FDM! Mention why this temporary role excites you and how you see yourself contributing in the short run. Show us what you've got and why you're the one for this quick turn-around!

How to prepare for a job interview at FDM

Nail the Technical Skills

For a software engineering role, you'll likely face technical questions or coding tasks during your interview. Brush up on the relevant programming languages and frameworks that FDM uses, and don’t forget to practice some coding challenges on platforms like LeetCode or HackerRank. Showing your coding prowess can really make you stand out!

Prepare for System Design Questions

Even for a temporary role, having a grasp of system design principles can be crucial. Be ready to discuss how you would architect a software solution, including discussing trade-offs, scalability, and performance considerations. Having examples from previous projects can really show off your analytical thinking.

Demonstrate Your Adaptability

Since this is a temporary role, you'll want to emphasise your ability to hit the ground running. Highlight experiences where you quickly adapted to new technologies or teams. Let’s make it clear to the interviewers at FDM that you can learn on the job and deliver results in a short timeframe!

Show Off Your Portfolio

Make sure to have a portfolio or GitHub ready showcasing your projects. Having tangible evidence of what you've done—be it personal projects, contributions to open-source, or previous work—can convey how capable you are. Tailor this for what might interest FDM, so it's relevant and sparks conversation during your interview.